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Monitoring the vertical distribution of HABs using hyperspectral imagery and deep learning models.
Hong, Seok Min; Baek, Sang-Soo; Yun, Daeun; Kwon, Yong-Hwan; Duan, Hongtao; Pyo, JongCheol; Cho, Kyung Hwa.
Afiliación
  • Hong SM; School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan 689-798, Republic of Korea.
  • Baek SS; School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan 689-798, Republic of Korea.
  • Yun D; School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan 689-798, Republic of Korea.
  • Kwon YH; Electronics and Telecommunication Research Institute, 218 Gajeong-ro, Yeseong-gu, Daejeon 305-700, Republic of Korea.
  • Duan H; Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.
  • Pyo J; Center for Environmental Data Strategy, Korea Environment Institute, Sejong 30147, Republic of Korea. Electronic address: jcpyo@kei.re.kr.
  • Cho KH; School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan 689-798, Republic of Korea. Electronic address: khcho@unist.ac.kr.
Sci Total Environ ; 794: 148592, 2021 Nov 10.
Article en En | MEDLINE | ID: mdl-34217087
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 2_ODS3 Problema de salud: 2_quimicos_contaminacion Asunto principal: Floraciones de Algas Nocivas / Aprendizaje Profundo Idioma: En Revista: Sci Total Environ Año: 2021 Tipo del documento: Article
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 2_ODS3 Problema de salud: 2_quimicos_contaminacion Asunto principal: Floraciones de Algas Nocivas / Aprendizaje Profundo Idioma: En Revista: Sci Total Environ Año: 2021 Tipo del documento: Article